Boris Benedikter
Research Areas
- Safe and trustworthy autonomous aerospace systems
- Machine learning for control and decision-making
- Aerospace guidance, navigation, and control
- Trajectory optimization for aircraft, rockets, and spacecraft
- Space domain awareness
Teaching Areas
- Aerospace vehicle stability and control
- Flight dynamics, guidance, navigation, and control
- Machine learning for autonomous aerospace systems
- Space systems and mission design
- Optimization and control of aerospace systems
Research Flyer Category
- Primary: Flight dynamics & controls
- Also relevant: Mechanics, robotics, controls
Specialization
Safe and trustworthy autonomy for aerospace systems, with emphasis on integrating machine learning methods within rigorous control-theoretic frameworks for aerial and space applications.